• 离线数仓搭建_09_ODS层数据导入

    文章目录

    上文访问：离线数仓搭建_08_Hive on Spark环境搭建及数据准备
    下文访问：离线数仓搭建_10_DIM层维度层数据导入

    11.0 数仓搭建ODS层

    11.1 ODS层（用户行为数据

    11.1.1 创建日志表ods_log

    1）创建支持lzo压缩的分区表

    （1）建表语句

    hive (gmall)> 
drop table if exists ods_log;
CREATE EXTERNAL TABLE ods_log (`line` string)
PARTITIONED BY (`dt` string) -- 按照时间创建分区
STORED AS -- 指定存储方式，读数据采用LzoTextInputFormat；
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_log'  -- 指定数据在hdfs上的存储位置
;

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    （2）分区规划

    image-20220921173009546

    2）加载数据

    image-20220921173038054

    hive (gmall)> 
load data inpath '/origin_data/gmall/log/topic_log/2020-06-14' into table ods_log partition(dt='2020-06-14');

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    ​ 注意：时间格式都配置成YYYY-MM-DD格式，这是Hive默认支持的时间格式

    3）为lzo压缩文件创建索引

    [atguigu@hadoop102 bin]$ hadoop jar /opt/module/hadoop-3.1.3/share/hadoop/common/hadoop-lzo-0.4.20.jar com.hadoop.compression.lzo.DistributedLzoIndexer /warehouse/gmall/ods/ods_log/dt=2020-06-14

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    11.1.2 Shell中单引号和双引号区别

    1）在/home/atguigu/bin创建一个test.sh文件

    [atguigu@hadoop102 bin]$ vim test.sh

    在文件中添加如下内容

    \

    #!/bin/bash

do_date=$1
echo '$do_date'
echo "$do_date"
echo "'$do_date'"
echo '"$do_date"'
echo `date

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    `

    2）查看执行结果

    [atguigu@hadoop102 bin]$ test.sh 2020-06-14
$do_date
2020-06-14
'2020-06-14'
"$do_date"
2020年 06月 18日 星期四 21:02:08 CST

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    3）总结：

    （1）单引号不取变量值

    （2）双引号取变量值

    （3）反引号`，执行引号中命令

    （4）双引号内部嵌套单引号，取出变量值

    （5）单引号内部嵌套双引号，不取出变量值

    11.1.3 ODS层日志表加载数据脚本

    1）编写脚本
    （1）在hadoop102的/home/atguigu/bin目录下创建脚本

    [atguigu@hadoop102 bin]$ vim hdfs_to_ods_log.sh

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    ​ 在脚本中编写如下内容

    #!/bin/bash

# 定义变量方便修改
APP=gmall

# 如果是输入的日期按照取输入日期；如果没输入日期取当前时间的前一天
if [ -n "$1" ] ;then
   do_date=$1
else 
   do_date=`date -d "-1 day" +%F`
fi 

echo ================== 日志日期为 $do_date ==================
sql="
load data inpath '/origin_data/$APP/log/topic_log/$do_date' into table ${APP}.ods_log partition(dt='$do_date');
"

hive -e "$sql"

hadoop jar /opt/module/hadoop-3.1.3/share/hadoop/common/hadoop-lzo-0.4.20.jar com.hadoop.compression.lzo.DistributedLzoIndexer /warehouse/$APP/ods/ods_log/dt=$do_date

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    （1）说明1：
    [ -n 变量值 ] 判断变量的值，是否为空
    – 变量的值，非空，返回true
    – 变量的值，为空，返回false
    注意：[ -n 变量值 ]不会解析数据，使用[ -n 变量值 ]时，需要对变量加上双引号(" ")
    （2）说明2：
    查看date命令的使用，date --help
    （2）增加脚本执行权限

    [atguigu@hadoop102 bin]$ chmod 777 hdfs_to_ods_log.sh

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    2）脚本使用

    （1）执行脚本

    [atguigu@hadoop102 module]$ hdfs_to_ods_log.sh 2020-06-14

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    （2）查看导入数据

    11.2 ODS层（业务数据）

    ODS层业务表分区规划如下

    image-20220921173408007

    ODS层业务表数据装载思路如下

    image-20220921173413719

    11.2.1 活动信息表

    DROP TABLE IF EXISTS ods_activity_info;
CREATE EXTERNAL TABLE ods_activity_info(
    `id` STRING COMMENT '编号',
    `activity_name` STRING  COMMENT '活动名称',
    `activity_type` STRING  COMMENT '活动类型',
    `start_time` STRING  COMMENT '开始时间',
    `end_time` STRING  COMMENT '结束时间',
    `create_time` STRING  COMMENT '创建时间'
) COMMENT '活动信息表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_activity_info/';

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    11.2.2 活动规则表

    DROP TABLE IF EXISTS ods_activity_rule;
CREATE EXTERNAL TABLE ods_activity_rule(
    `id` STRING COMMENT '编号',
    `activity_id` STRING  COMMENT '活动ID',
    `activity_type` STRING COMMENT '活动类型',
    `condition_amount` DECIMAL(16,2) COMMENT '满减金额',
    `condition_num` BIGINT COMMENT '满减件数',
    `benefit_amount` DECIMAL(16,2) COMMENT '优惠金额',
    `benefit_discount` DECIMAL(16,2) COMMENT '优惠折扣',
    `benefit_level` STRING COMMENT '优惠级别'
) COMMENT '活动规则表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_activity_rule/';

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    11.2.3 一级品类表

    DROP TABLE IF EXISTS ods_base_category1;
CREATE EXTERNAL TABLE ods_base_category1(
    `id` STRING COMMENT 'id',
    `name` STRING COMMENT '名称'
) COMMENT '商品一级分类表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_base_category1/';

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    11.2.4 二级品类表

    DROP TABLE IF EXISTS ods_base_category2;
CREATE EXTERNAL TABLE ods_base_category2(
    `id` STRING COMMENT ' id',
    `name` STRING COMMENT '名称',
    `category1_id` STRING COMMENT '一级品类id'
) COMMENT '商品二级分类表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_base_category2/';

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    11.2.5 三级品类表

    DROP TABLE IF EXISTS ods_base_category3;
CREATE EXTERNAL TABLE ods_base_category3(
    `id` STRING COMMENT ' id',
    `name` STRING COMMENT '名称',
    `category2_id` STRING COMMENT '二级品类id'
) COMMENT '商品三级分类表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_base_category3/';

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    11.2.6 编码字典表

    DROP TABLE IF EXISTS ods_base_dic;
CREATE EXTERNAL TABLE ods_base_dic(
    `dic_code` STRING COMMENT '编号',
    `dic_name` STRING COMMENT '编码名称',
    `parent_code` STRING COMMENT '父编码',
    `create_time` STRING COMMENT '创建日期',
    `operate_time` STRING COMMENT '操作日期'
) COMMENT '编码字典表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_base_dic/';

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    11.2.7 省份表

    DROP TABLE IF EXISTS ods_base_province;
CREATE EXTERNAL TABLE ods_base_province (
    `id` STRING COMMENT '编号',
    `name` STRING COMMENT '省份名称',
    `region_id` STRING COMMENT '地区ID',
    `area_code` STRING COMMENT '地区编码',
    `iso_code` STRING COMMENT 'ISO-3166编码，供可视化使用',
    `iso_3166_2` STRING COMMENT 'IOS-3166-2编码，供可视化使用'
)  COMMENT '省份表'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_base_province/';

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    11.2.8 地区表

    DROP TABLE IF EXISTS ods_base_region;
CREATE EXTERNAL TABLE ods_base_region (
    `id` STRING COMMENT '编号',
    `region_name` STRING COMMENT '地区名称'
)  COMMENT '地区表'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_base_region/';

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    11.2.9 品牌表

    DROP TABLE IF EXISTS ods_base_trademark;
CREATE EXTERNAL TABLE ods_base_trademark (
    `id` STRING COMMENT '编号',
    `tm_name` STRING COMMENT '品牌名称'
)  COMMENT '品牌表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_base_trademark/';

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    11.2.10 购物车表

    DROP TABLE IF EXISTS ods_cart_info;
CREATE EXTERNAL TABLE ods_cart_info(
    `id` STRING COMMENT '编号',
    `user_id` STRING COMMENT '用户id',
    `sku_id` STRING COMMENT 'skuid',
    `cart_price` DECIMAL(16,2)  COMMENT '放入购物车时价格',
    `sku_num` BIGINT COMMENT '数量',
    `sku_name` STRING COMMENT 'sku名称 (冗余)',
    `create_time` STRING COMMENT '创建时间',
    `operate_time` STRING COMMENT '修改时间',
    `is_ordered` STRING COMMENT '是否已经下单',
    `order_time` STRING COMMENT '下单时间',
    `source_type` STRING COMMENT '来源类型',
    `source_id` STRING COMMENT '来源编号'
) COMMENT '加购表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_cart_info/';

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    11.2.11 评论表

    DROP TABLE IF EXISTS ods_comment_info;
CREATE EXTERNAL TABLE ods_comment_info(
    `id` STRING COMMENT '编号',
    `user_id` STRING COMMENT '用户ID',
    `sku_id` STRING COMMENT '商品sku',
    `spu_id` STRING COMMENT '商品spu',
    `order_id` STRING COMMENT '订单ID',
    `appraise` STRING COMMENT '评价',
    `create_time` STRING COMMENT '评价时间'
) COMMENT '商品评论表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_comment_info/';

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    11.2.12 优惠券信息表

    DROP TABLE IF EXISTS ods_coupon_info;
CREATE EXTERNAL TABLE ods_coupon_info(
    `id` STRING COMMENT '购物券编号',
    `coupon_name` STRING COMMENT '购物券名称',
    `coupon_type` STRING COMMENT '购物券类型 1 现金券 2 折扣券 3 满减券 4 满件打折券',
    `condition_amount` DECIMAL(16,2) COMMENT '满额数',
    `condition_num` BIGINT COMMENT '满件数',
    `activity_id` STRING COMMENT '活动编号',
    `benefit_amount` DECIMAL(16,2) COMMENT '减金额',
    `benefit_discount` DECIMAL(16,2) COMMENT '折扣',
    `create_time` STRING COMMENT '创建时间',
    `range_type` STRING COMMENT '范围类型 1、商品 2、品类 3、品牌',
    `limit_num` BIGINT COMMENT '最多领用次数',
    `taken_count` BIGINT COMMENT '已领用次数',
    `start_time` STRING COMMENT '开始领取时间',
    `end_time` STRING COMMENT '结束领取时间',
    `operate_time` STRING COMMENT '修改时间',
    `expire_time` STRING COMMENT '过期时间'
) COMMENT '优惠券表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_coupon_info/';

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    11.2.13 优惠券领用表

    DROP TABLE IF EXISTS ods_coupon_use;
CREATE EXTERNAL TABLE ods_coupon_use(
    `id` STRING COMMENT '编号',
    `coupon_id` STRING  COMMENT '优惠券ID',
    `user_id` STRING  COMMENT 'skuid',
    `order_id` STRING  COMMENT 'spuid',
    `coupon_status` STRING  COMMENT '优惠券状态',
    `get_time` STRING  COMMENT '领取时间',
    `using_time` STRING  COMMENT '使用时间(下单)',
    `used_time` STRING  COMMENT '使用时间(支付)',
    `expire_time` STRING COMMENT '过期时间'
) COMMENT '优惠券领用表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_coupon_use/';

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    11.2.14 收藏表

    DROP TABLE IF EXISTS ods_favor_info;
CREATE EXTERNAL TABLE ods_favor_info(
    `id` STRING COMMENT '编号',
    `user_id` STRING COMMENT '用户id',
    `sku_id` STRING COMMENT 'skuid',
    `spu_id` STRING COMMENT 'spuid',
    `is_cancel` STRING COMMENT '是否取消',
    `create_time` STRING COMMENT '收藏时间',
    `cancel_time` STRING COMMENT '取消时间'
) COMMENT '商品收藏表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_favor_info/';

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    11.2.15 订单明细表

    DROP TABLE IF EXISTS ods_order_detail;
CREATE EXTERNAL TABLE ods_order_detail(
    `id` STRING COMMENT '编号',
    `order_id` STRING  COMMENT '订单号',
    `sku_id` STRING COMMENT '商品id',
    `sku_name` STRING COMMENT '商品名称',
    `order_price` DECIMAL(16,2) COMMENT '商品价格',
    `sku_num` BIGINT COMMENT '商品数量',
    `create_time` STRING COMMENT '创建时间',
    `source_type` STRING COMMENT '来源类型',
    `source_id` STRING COMMENT '来源编号',
    `split_final_amount` DECIMAL(16,2) COMMENT '分摊最终金额',
    `split_activity_amount` DECIMAL(16,2) COMMENT '分摊活动优惠',
    `split_coupon_amount` DECIMAL(16,2) COMMENT '分摊优惠券优惠'
) COMMENT '订单详情表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_order_detail/';

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    11.2.16 订单明细活动关联表

    DROP TABLE IF EXISTS ods_order_detail_activity;
CREATE EXTERNAL TABLE ods_order_detail_activity(
    `id` STRING COMMENT '编号',
    `order_id` STRING  COMMENT '订单号',
    `order_detail_id` STRING COMMENT '订单明细id',
    `activity_id` STRING COMMENT '活动id',
    `activity_rule_id` STRING COMMENT '活动规则id',
    `sku_id` BIGINT COMMENT '商品id',
    `create_time` STRING COMMENT '创建时间'
) COMMENT '订单详情活动关联表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_order_detail_activity/';

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    11.2.17 订单明细优惠券关联表

    DROP TABLE IF EXISTS ods_order_detail_coupon;
CREATE EXTERNAL TABLE ods_order_detail_coupon(
    `id` STRING COMMENT '编号',
    `order_id` STRING  COMMENT '订单号',
    `order_detail_id` STRING COMMENT '订单明细id',
    `coupon_id` STRING COMMENT '优惠券id',
    `coupon_use_id` STRING COMMENT '优惠券领用记录id',
    `sku_id` STRING COMMENT '商品id',
    `create_time` STRING COMMENT '创建时间'
) COMMENT '订单详情活动关联表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_order_detail_coupon/';

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    11.2.18 订单表

    DROP TABLE IF EXISTS ods_order_info;
CREATE EXTERNAL TABLE ods_order_info (
    `id` STRING COMMENT '订单号',
    `final_amount` DECIMAL(16,2) COMMENT '订单最终金额',
    `order_status` STRING COMMENT '订单状态',
    `user_id` STRING COMMENT '用户id',
    `payment_way` STRING COMMENT '支付方式',
    `delivery_address` STRING COMMENT '送货地址',
    `out_trade_no` STRING COMMENT '支付流水号',
    `create_time` STRING COMMENT '创建时间',
    `operate_time` STRING COMMENT '操作时间',
    `expire_time` STRING COMMENT '过期时间',
    `tracking_no` STRING COMMENT '物流单编号',
    `province_id` STRING COMMENT '省份ID',
    `activity_reduce_amount` DECIMAL(16,2) COMMENT '活动减免金额',
    `coupon_reduce_amount` DECIMAL(16,2) COMMENT '优惠券减免金额',
    `original_amount` DECIMAL(16,2)  COMMENT '订单原价金额',
    `feight_fee` DECIMAL(16,2)  COMMENT '运费',
    `feight_fee_reduce` DECIMAL(16,2)  COMMENT '运费减免'
) COMMENT '订单表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_order_info/';

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    11.2.19 退单表

    DROP TABLE IF EXISTS ods_order_refund_info;
CREATE EXTERNAL TABLE ods_order_refund_info(
    `id` STRING COMMENT '编号',
    `user_id` STRING COMMENT '用户ID',
    `order_id` STRING COMMENT '订单ID',
    `sku_id` STRING COMMENT '商品ID',
    `refund_type` STRING COMMENT '退单类型',
    `refund_num` BIGINT COMMENT '退单件数',
    `refund_amount` DECIMAL(16,2) COMMENT '退单金额',
    `refund_reason_type` STRING COMMENT '退单原因类型',
    `refund_status` STRING COMMENT '退单状态',--退单状态应包含买家申请、卖家审核、卖家收货、退款完成等状态。此处未涉及到，故该表按增量处理
    `create_time` STRING COMMENT '退单时间'
) COMMENT '退单表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_order_refund_info/';

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    11.2.20 订单状态日志表

    DROP TABLE IF EXISTS ods_order_status_log;
CREATE EXTERNAL TABLE ods_order_status_log (
    `id` STRING COMMENT '编号',
    `order_id` STRING COMMENT '订单ID',
    `order_status` STRING COMMENT '订单状态',
    `operate_time` STRING COMMENT '修改时间'
)  COMMENT '订单状态表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_order_status_log/';

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    11.2.21 支付表

    DROP TABLE IF EXISTS ods_payment_info;
CREATE EXTERNAL TABLE ods_payment_info(
    `id` STRING COMMENT '编号',
    `out_trade_no` STRING COMMENT '对外业务编号',
    `order_id` STRING COMMENT '订单编号',
    `user_id` STRING COMMENT '用户编号',
    `payment_type` STRING COMMENT '支付类型',
    `trade_no` STRING COMMENT '交易编号',
    `payment_amount` DECIMAL(16,2) COMMENT '支付金额',
    `subject` STRING COMMENT '交易内容',
    `payment_status` STRING COMMENT '支付状态',
    `create_time` STRING COMMENT '创建时间',
    `callback_time` STRING COMMENT '回调时间'
)  COMMENT '支付流水表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_payment_info/';

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    11.2.22 退款表

    DROP TABLE IF EXISTS ods_refund_payment;
CREATE EXTERNAL TABLE ods_refund_payment(
    `id` STRING COMMENT '编号',
    `out_trade_no` STRING COMMENT '对外业务编号',
    `order_id` STRING COMMENT '订单编号',
    `sku_id` STRING COMMENT 'SKU编号',
    `payment_type` STRING COMMENT '支付类型',
    `trade_no` STRING COMMENT '交易编号',
    `refund_amount` DECIMAL(16,2) COMMENT '支付金额',
    `subject` STRING COMMENT '交易内容',
    `refund_status` STRING COMMENT '支付状态',
    `create_time` STRING COMMENT '创建时间',
    `callback_time` STRING COMMENT '回调时间'
)  COMMENT '支付流水表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_refund_payment/';

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    11.2.23 商品平台属性表

    DROP TABLE IF EXISTS ods_sku_attr_value;
CREATE EXTERNAL TABLE ods_sku_attr_value(
    `id` STRING COMMENT '编号',
    `attr_id` STRING COMMENT '平台属性ID',
    `value_id` STRING COMMENT '平台属性值ID',
    `sku_id` STRING COMMENT '商品ID',
    `attr_name` STRING COMMENT '平台属性名称',
    `value_name` STRING COMMENT '平台属性值名称'
) COMMENT 'sku平台属性表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_sku_attr_value/';

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    11.2.24 商品（SKU）表

    DROP TABLE IF EXISTS ods_sku_info;
CREATE EXTERNAL TABLE ods_sku_info(
    `id` STRING COMMENT 'skuId',
    `spu_id` STRING COMMENT 'spuid',
    `price` DECIMAL(16,2) COMMENT '价格',
    `sku_name` STRING COMMENT '商品名称',
    `sku_desc` STRING COMMENT '商品描述',
    `weight` DECIMAL(16,2) COMMENT '重量',
    `tm_id` STRING COMMENT '品牌id',
    `category3_id` STRING COMMENT '品类id',
    `is_sale` STRING COMMENT '是否在售',
    `create_time` STRING COMMENT '创建时间'
) COMMENT 'SKU商品表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_sku_info/';

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    11.2.25 商品销售属性表

    DROP TABLE IF EXISTS ods_sku_sale_attr_value;
CREATE EXTERNAL TABLE ods_sku_sale_attr_value(
    `id` STRING COMMENT '编号',
    `sku_id` STRING COMMENT 'sku_id',
    `spu_id` STRING COMMENT 'spu_id',
    `sale_attr_value_id` STRING COMMENT '销售属性值id',
    `sale_attr_id` STRING COMMENT '销售属性id',
    `sale_attr_name` STRING COMMENT '销售属性名称',
    `sale_attr_value_name` STRING COMMENT '销售属性值名称'
) COMMENT 'sku销售属性名称'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_sku_sale_attr_value/';

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    11.2.26 商品（SPU）表

    DROP TABLE IF EXISTS ods_spu_info;
CREATE EXTERNAL TABLE ods_spu_info(
    `id` STRING COMMENT 'spuid',
    `spu_name` STRING COMMENT 'spu名称',
    `category3_id` STRING COMMENT '品类id',
    `tm_id` STRING COMMENT '品牌id'
) COMMENT 'SPU商品表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_spu_info/';

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    11.2.27 用户表

    DROP TABLE IF EXISTS ods_user_info;
CREATE EXTERNAL TABLE ods_user_info(
    `id` STRING COMMENT '用户id',
    `login_name` STRING COMMENT '用户名称',
    `nick_name` STRING COMMENT '用户昵称',
    `name` STRING COMMENT '用户姓名',
    `phone_num` STRING COMMENT '手机号码',
    `email` STRING COMMENT '邮箱',
    `user_level` STRING COMMENT '用户等级',
    `birthday` STRING COMMENT '生日',
    `gender` STRING COMMENT '性别',
    `create_time` STRING COMMENT '创建时间',
    `operate_time` STRING COMMENT '操作时间'
) COMMENT '用户表'
PARTITIONED BY (`dt` STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t'
STORED AS
  INPUTFORMAT 'com.hadoop.mapred.DeprecatedLzoTextInputFormat'
  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION '/warehouse/gmall/ods/ods_user_info/';

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    11.2.28 ODS层业务表首日数据装载脚本

    （1）在/home/atguigu/bin目录下创建脚本hdfs_to_ods_db_init.sh

    [atguigu@hadoop102 bin]$ vim hdfs_to_ods_db_init.sh

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    在脚本中填写如下内容

    #!/bin/bash

APP=gmall

if [ -n "$2" ] ;then
   do_date=$2
else 
   echo "请传入日期参数"
   exit
fi 

ods_order_info=" 
load data inpath '/origin_data/$APP/db/order_info/$do_date' OVERWRITE into table ${APP}.ods_order_info partition(dt='$do_date');"

ods_order_detail="
load data inpath '/origin_data/$APP/db/order_detail/$do_date' OVERWRITE into table ${APP}.ods_order_detail partition(dt='$do_date');"

ods_sku_info="
load data inpath '/origin_data/$APP/db/sku_info/$do_date' OVERWRITE into table ${APP}.ods_sku_info partition(dt='$do_date');"

ods_user_info="
load data inpath '/origin_data/$APP/db/user_info/$do_date' OVERWRITE into table ${APP}.ods_user_info partition(dt='$do_date');"

ods_payment_info="
load data inpath '/origin_data/$APP/db/payment_info/$do_date' OVERWRITE into table ${APP}.ods_payment_info partition(dt='$do_date');"

ods_base_category1="
load data inpath '/origin_data/$APP/db/base_category1/$do_date' OVERWRITE into table ${APP}.ods_base_category1 partition(dt='$do_date');"

ods_base_category2="
load data inpath '/origin_data/$APP/db/base_category2/$do_date' OVERWRITE into table ${APP}.ods_base_category2 partition(dt='$do_date');"

ods_base_category3="
load data inpath '/origin_data/$APP/db/base_category3/$do_date' OVERWRITE into table ${APP}.ods_base_category3 partition(dt='$do_date'); "

ods_base_trademark="
load data inpath '/origin_data/$APP/db/base_trademark/$do_date' OVERWRITE into table ${APP}.ods_base_trademark partition(dt='$do_date'); "

ods_activity_info="
load data inpath '/origin_data/$APP/db/activity_info/$do_date' OVERWRITE into table ${APP}.ods_activity_info partition(dt='$do_date'); "

ods_cart_info="
load data inpath '/origin_data/$APP/db/cart_info/$do_date' OVERWRITE into table ${APP}.ods_cart_info partition(dt='$do_date'); "

ods_comment_info="
load data inpath '/origin_data/$APP/db/comment_info/$do_date' OVERWRITE into table ${APP}.ods_comment_info partition(dt='$do_date'); "

ods_coupon_info="
load data inpath '/origin_data/$APP/db/coupon_info/$do_date' OVERWRITE into table ${APP}.ods_coupon_info partition(dt='$do_date'); "

ods_coupon_use="
load data inpath '/origin_data/$APP/db/coupon_use/$do_date' OVERWRITE into table ${APP}.ods_coupon_use partition(dt='$do_date'); "

ods_favor_info="
load data inpath '/origin_data/$APP/db/favor_info/$do_date' OVERWRITE into table ${APP}.ods_favor_info partition(dt='$do_date'); "

ods_order_refund_info="
load data inpath '/origin_data/$APP/db/order_refund_info/$do_date' OVERWRITE into table ${APP}.ods_order_refund_info partition(dt='$do_date'); "

ods_order_status_log="
load data inpath '/origin_data/$APP/db/order_status_log/$do_date' OVERWRITE into table ${APP}.ods_order_status_log partition(dt='$do_date'); "

ods_spu_info="
load data inpath '/origin_data/$APP/db/spu_info/$do_date' OVERWRITE into table ${APP}.ods_spu_info partition(dt='$do_date'); "

ods_activity_rule="
load data inpath '/origin_data/$APP/db/activity_rule/$do_date' OVERWRITE into table ${APP}.ods_activity_rule partition(dt='$do_date');" 

ods_base_dic="
load data inpath '/origin_data/$APP/db/base_dic/$do_date' OVERWRITE into table ${APP}.ods_base_dic partition(dt='$do_date'); "

ods_order_detail_activity="
load data inpath '/origin_data/$APP/db/order_detail_activity/$do_date' OVERWRITE into table ${APP}.ods_order_detail_activity partition(dt='$do_date'); "

ods_order_detail_coupon="
load data inpath '/origin_data/$APP/db/order_detail_coupon/$do_date' OVERWRITE into table ${APP}.ods_order_detail_coupon partition(dt='$do_date'); "

ods_refund_payment="
load data inpath '/origin_data/$APP/db/refund_payment/$do_date' OVERWRITE into table ${APP}.ods_refund_payment partition(dt='$do_date'); "

ods_sku_attr_value="
load data inpath '/origin_data/$APP/db/sku_attr_value/$do_date' OVERWRITE into table ${APP}.ods_sku_attr_value partition(dt='$do_date'); "

ods_sku_sale_attr_value="
load data inpath '/origin_data/$APP/db/sku_sale_attr_value/$do_date' OVERWRITE into table ${APP}.ods_sku_sale_attr_value partition(dt='$do_date'); "

ods_base_province=" 
load data inpath '/origin_data/$APP/db/base_province/$do_date' OVERWRITE into table ${APP}.ods_base_province;"

ods_base_region="
load data inpath '/origin_data/$APP/db/base_region/$do_date' OVERWRITE into table ${APP}.ods_base_region;"

case $1 in
    "ods_order_info"){
        hive -e "$ods_order_info"
    };;
    "ods_order_detail"){
        hive -e "$ods_order_detail"
    };;
    "ods_sku_info"){
        hive -e "$ods_sku_info"
    };;
    "ods_user_info"){
        hive -e "$ods_user_info"
    };;
    "ods_payment_info"){
        hive -e "$ods_payment_info"
    };;
    "ods_base_category1"){
        hive -e "$ods_base_category1"
    };;
    "ods_base_category2"){
        hive -e "$ods_base_category2"
    };;
    "ods_base_category3"){
        hive -e "$ods_base_category3"
    };;
    "ods_base_trademark"){
        hive -e "$ods_base_trademark"
    };;
    "ods_activity_info"){
        hive -e "$ods_activity_info"
    };;
    "ods_cart_info"){
        hive -e "$ods_cart_info"
    };;
    "ods_comment_info"){
        hive -e "$ods_comment_info"
    };;
    "ods_coupon_info"){
        hive -e "$ods_coupon_info"
    };;
    "ods_coupon_use"){
        hive -e "$ods_coupon_use"
    };;
    "ods_favor_info"){
        hive -e "$ods_favor_info"
    };;
    "ods_order_refund_info"){
        hive -e "$ods_order_refund_info"
    };;
    "ods_order_status_log"){
        hive -e "$ods_order_status_log"
    };;
    "ods_spu_info"){
        hive -e "$ods_spu_info"
    };;
    "ods_activity_rule"){
        hive -e "$ods_activity_rule"
    };;
    "ods_base_dic"){
        hive -e "$ods_base_dic"
    };;
    "ods_order_detail_activity"){
        hive -e "$ods_order_detail_activity"
    };;
    "ods_order_detail_coupon"){
        hive -e "$ods_order_detail_coupon"
    };;
    "ods_refund_payment"){
        hive -e "$ods_refund_payment"
    };;
    "ods_sku_attr_value"){
        hive -e "$ods_sku_attr_value"
    };;
    "ods_sku_sale_attr_value"){
        hive -e "$ods_sku_sale_attr_value"
    };;
    "ods_base_province"){
        hive -e "$ods_base_province"
    };;
    "ods_base_region"){
        hive -e "$ods_base_region"
    };;
    "all"){
        hive -e "$ods_order_info$ods_order_detail$ods_sku_info$ods_user_info$ods_payment_info$ods_base_category1$ods_base_category2$ods_base_category3$ods_base_trademark$ods_activity_info$ods_cart_info$ods_comment_info$ods_coupon_info$ods_coupon_use$ods_favor_info$ods_order_refund_info$ods_order_status_log$ods_spu_info$ods_activity_rule$ods_base_dic$ods_order_detail_activity$ods_order_detail_coupon$ods_refund_payment$ods_sku_attr_value$ods_sku_sale_attr_value$ods_base_province$ods_base_region"
    };;
esac

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    （2）增加执行权限

    [atguigu@hadoop102 bin]$ chmod +x hdfs_to_ods_db_init.sh

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    2）脚本使用
    （1）执行脚本

    [atguigu@hadoop102 bin]$ hdfs_to_ods_db_init.sh all 2020-06-14

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    （2）查看数据是否导入成功

    11.2.29 ODS层业务表每日数据装载脚本

    1）编写脚本
    （1）在/home/atguigu/bin目录下创建脚本hdfs_to_ods_db.sh

    [atguigu@hadoop102 bin]$ vim hdfs_to_ods_db.sh

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    在脚本中填写如下内容

    #!/bin/bash

APP=gmall

# 如果是输入的日期按照取输入日期；如果没输入日期取当前时间的前一天
if [ -n "$2" ] ;then
    do_date=$2
else 
    do_date=`date -d "-1 day" +%F`
fi

ods_order_info=" 
load data inpath '/origin_data/$APP/db/order_info/$do_date' OVERWRITE into table ${APP}.ods_order_info partition(dt='$do_date');"

ods_order_detail="
load data inpath '/origin_data/$APP/db/order_detail/$do_date' OVERWRITE into table ${APP}.ods_order_detail partition(dt='$do_date');"

ods_sku_info="
load data inpath '/origin_data/$APP/db/sku_info/$do_date' OVERWRITE into table ${APP}.ods_sku_info partition(dt='$do_date');"

ods_user_info="
load data inpath '/origin_data/$APP/db/user_info/$do_date' OVERWRITE into table ${APP}.ods_user_info partition(dt='$do_date');"

ods_payment_info="
load data inpath '/origin_data/$APP/db/payment_info/$do_date' OVERWRITE into table ${APP}.ods_payment_info partition(dt='$do_date');"

ods_base_category1="
load data inpath '/origin_data/$APP/db/base_category1/$do_date' OVERWRITE into table ${APP}.ods_base_category1 partition(dt='$do_date');"

ods_base_category2="
load data inpath '/origin_data/$APP/db/base_category2/$do_date' OVERWRITE into table ${APP}.ods_base_category2 partition(dt='$do_date');"

ods_base_category3="
load data inpath '/origin_data/$APP/db/base_category3/$do_date' OVERWRITE into table ${APP}.ods_base_category3 partition(dt='$do_date'); "

ods_base_trademark="
load data inpath '/origin_data/$APP/db/base_trademark/$do_date' OVERWRITE into table ${APP}.ods_base_trademark partition(dt='$do_date'); "

ods_activity_info="
load data inpath '/origin_data/$APP/db/activity_info/$do_date' OVERWRITE into table ${APP}.ods_activity_info partition(dt='$do_date'); "

ods_cart_info="
load data inpath '/origin_data/$APP/db/cart_info/$do_date' OVERWRITE into table ${APP}.ods_cart_info partition(dt='$do_date'); "

ods_comment_info="
load data inpath '/origin_data/$APP/db/comment_info/$do_date' OVERWRITE into table ${APP}.ods_comment_info partition(dt='$do_date'); "

ods_coupon_info="
load data inpath '/origin_data/$APP/db/coupon_info/$do_date' OVERWRITE into table ${APP}.ods_coupon_info partition(dt='$do_date'); "

ods_coupon_use="
load data inpath '/origin_data/$APP/db/coupon_use/$do_date' OVERWRITE into table ${APP}.ods_coupon_use partition(dt='$do_date'); "

ods_favor_info="
load data inpath '/origin_data/$APP/db/favor_info/$do_date' OVERWRITE into table ${APP}.ods_favor_info partition(dt='$do_date'); "

ods_order_refund_info="
load data inpath '/origin_data/$APP/db/order_refund_info/$do_date' OVERWRITE into table ${APP}.ods_order_refund_info partition(dt='$do_date'); "

ods_order_status_log="
load data inpath '/origin_data/$APP/db/order_status_log/$do_date' OVERWRITE into table ${APP}.ods_order_status_log partition(dt='$do_date'); "

ods_spu_info="
load data inpath '/origin_data/$APP/db/spu_info/$do_date' OVERWRITE into table ${APP}.ods_spu_info partition(dt='$do_date'); "

ods_activity_rule="
load data inpath '/origin_data/$APP/db/activity_rule/$do_date' OVERWRITE into table ${APP}.ods_activity_rule partition(dt='$do_date');" 

ods_base_dic="
load data inpath '/origin_data/$APP/db/base_dic/$do_date' OVERWRITE into table ${APP}.ods_base_dic partition(dt='$do_date'); "

ods_order_detail_activity="
load data inpath '/origin_data/$APP/db/order_detail_activity/$do_date' OVERWRITE into table ${APP}.ods_order_detail_activity partition(dt='$do_date'); "

ods_order_detail_coupon="
load data inpath '/origin_data/$APP/db/order_detail_coupon/$do_date' OVERWRITE into table ${APP}.ods_order_detail_coupon partition(dt='$do_date'); "

ods_refund_payment="
load data inpath '/origin_data/$APP/db/refund_payment/$do_date' OVERWRITE into table ${APP}.ods_refund_payment partition(dt='$do_date'); "

ods_sku_attr_value="
load data inpath '/origin_data/$APP/db/sku_attr_value/$do_date' OVERWRITE into table ${APP}.ods_sku_attr_value partition(dt='$do_date'); "

ods_sku_sale_attr_value="
load data inpath '/origin_data/$APP/db/sku_sale_attr_value/$do_date' OVERWRITE into table ${APP}.ods_sku_sale_attr_value partition(dt='$do_date'); "

ods_base_province=" 
load data inpath '/origin_data/$APP/db/base_province/$do_date' OVERWRITE into table ${APP}.ods_base_province;"

ods_base_region="
load data inpath '/origin_data/$APP/db/base_region/$do_date' OVERWRITE into table ${APP}.ods_base_region;"

case $1 in
    "ods_order_info"){
        hive -e "$ods_order_info"
    };;
    "ods_order_detail"){
        hive -e "$ods_order_detail"
    };;
    "ods_sku_info"){
        hive -e "$ods_sku_info"
    };;
    "ods_user_info"){
        hive -e "$ods_user_info"
    };;
    "ods_payment_info"){
        hive -e "$ods_payment_info"
    };;
    "ods_base_category1"){
        hive -e "$ods_base_category1"
    };;
    "ods_base_category2"){
        hive -e "$ods_base_category2"
    };;
    "ods_base_category3"){
        hive -e "$ods_base_category3"
    };;
    "ods_base_trademark"){
        hive -e "$ods_base_trademark"
    };;
    "ods_activity_info"){
        hive -e "$ods_activity_info"
    };;
    "ods_cart_info"){
        hive -e "$ods_cart_info"
    };;
    "ods_comment_info"){
        hive -e "$ods_comment_info"
    };;
    "ods_coupon_info"){
        hive -e "$ods_coupon_info"
    };;
    "ods_coupon_use"){
        hive -e "$ods_coupon_use"
    };;
    "ods_favor_info"){
        hive -e "$ods_favor_info"
    };;
    "ods_order_refund_info"){
        hive -e "$ods_order_refund_info"
    };;
    "ods_order_status_log"){
        hive -e "$ods_order_status_log"
    };;
    "ods_spu_info"){
        hive -e "$ods_spu_info"
    };;
    "ods_activity_rule"){
        hive -e "$ods_activity_rule"
    };;
    "ods_base_dic"){
        hive -e "$ods_base_dic"
    };;
    "ods_order_detail_activity"){
        hive -e "$ods_order_detail_activity"
    };;
    "ods_order_detail_coupon"){
        hive -e "$ods_order_detail_coupon"
    };;
    "ods_refund_payment"){
        hive -e "$ods_refund_payment"
    };;
    "ods_sku_attr_value"){
        hive -e "$ods_sku_attr_value"
    };;
    "ods_sku_sale_attr_value"){
        hive -e "$ods_sku_sale_attr_value"
    };;
    "all"){
        hive -e "$ods_order_info$ods_order_detail$ods_sku_info$ods_user_info$ods_payment_info$ods_base_category1$ods_base_category2$ods_base_category3$ods_base_trademark$ods_activity_info$ods_cart_info$ods_comment_info$ods_coupon_info$ods_coupon_use$ods_favor_info$ods_order_refund_info$ods_order_status_log$ods_spu_info$ods_activity_rule$ods_base_dic$ods_order_detail_activity$ods_order_detail_coupon$ods_refund_payment$ods_sku_attr_value$ods_sku_sale_attr_value"
    };;
esac

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    （2）修改权限

    [atguigu@hadoop102 bin]$ chmod +x hdfs_to_ods_db.sh

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    2）脚本使用
    （1）执行脚本

    [atguigu@hadoop102 bin]$ hdfs_to_ods_db.sh all 2020-06-14

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  • 原文地址：https://blog.csdn.net/m0_58022371/article/details/126977538